Senior Database Administrator
Core
Scaling high-throughput PostgreSQL clusters and operating vector search/embedding stores to support global financial infrastructure and AI-enabled products.
Role type
Senior Database Administrator (PostgreSQL & Vector Data)
Builds
High-availability PostgreSQL environments, vector data platforms (pgvector, Qdrant, etc.), and automated operational workflows.
Domain
Financial Technology / Open Finance / AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
PostgreSQL internals (MVCC, WAL, autovacuum, query planning), high-availability patterns (replication, PITR, failover), vector index strategies (HNSW, IVFFlat), container orchestration (Kubernetes), Infrastructure-as-Code (Terraform), observability (SLOs, alerting), security (encryption, access control), CI/CD and GitOps.
Preferred skills
Python/Go/Rust scripting, SRE methodologies (error budgets, failure exercises), multi-region disaster recovery design, AI/recommendation system support.
Technologies
PostgreSQL, pgvector, Qdrant, Milvus, Weaviate, OpenSearch, PgBouncer, HAProxy, Kubernetes, Terraform, ArgoCD, GitHub Actions, GitLab CI.
Responsibilities
Scale and tune high-throughput PostgreSQL clusters; own reliability fundamentals (WAL, checkpoints, replication lag); build and operate vector data capabilities; define production patterns for embeddings and vector search; strengthen high-availability and disaster-recovery approaches; reduce manual work via automation; improve observability and alert quality; enhance database security; contribute to containerized environments and GitOps workflows; partner with service and AI teams; participate in on-call rotations.
Seniority
Senior, hands-on IC